tglubenov Goto Github PK
Name: Todor Lubenov
Type: User
Bio: Machine Learning and Deep Learning engineer
Location: Sofia, Bulgaria
Name: Todor Lubenov
Type: User
Bio: Machine Learning and Deep Learning engineer
Location: Sofia, Bulgaria
Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
Documentation and samples for ArcGIS API for Python
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
:metal: awesome-semantic-segmentation
Bayesian Analysis with Python by Packt
Source code for 'Beginning Django' by Daniel Rubio
Source code for 'Beginning Robotics with Raspberry Pi and Arduino: Using Python and OpenCV' by Jeffrey Cicolani
Building Django 2.0 Web Applications, published by Packt
My repository for the Carvana Image Masking Challenge
Starter files, final projects and FAQ for my Complete JavaScript course
Comprehensive Ruby Programming, published by Packt
Data Science analysis and visualization using Python.
Code repository for Deep Learning with Keras published by Packt
PyTorch implementation of DeepLab (ResNet) + COCO-Stuff
Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN
Blog related code for
DenseNet Implementation in Keras with ImageNet Pretrained Models
Public repo that contains code samples for the DevNet Express Cloud Collaboration tracks
Source code for 'Docker for Data Science' by Joshua Cook
Dilated Residual Networks
TensorFlow tutorials and best practices.
gprs server
paper implement : Fast and Accurate Single Image Super-Resolution via Information Distillation Network
In-Place Activated BatchNorm for Memory-Optimized Training of DNNs
Keras implementation of Deeplab v3+ with pretrained weights
Kind PyTorch Tutorial for beginners
Image Polygonal Annotation with Python.
LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.